I genuinely don’t understand why you think it’s bad for Dems to adapt their strategy to boost their chances of winning.
@robvdm
AI and machine learning researcher based in Berlin, Germany. -Nonparametric tensor methods. -Deep anomaly detection ravdm.github.io scholar.google.com/citations?user=eSjfzOUAAAAJ orcid.org/0000-0001-6863-7006
I genuinely don’t understand why you think it’s bad for Dems to adapt their strategy to boost their chances of winning.
I'm happy to share our work "Dimension-independent rates for structured neural density estimation" was accepted to ICML! This furthers our new approach on sample-efficient high-dimensional nonparametric statistics!
Preprint: arxiv.org/abs/2411.15095 (old version)
w/ Wai Ming Tai and Bryon Aragam
Woop! Congrats Herr Doktor!
Major late 2000s early 2010s zombie stuff:
28 weeks later
Shaun of the dead
Zombieland
The walking dead
The last of us
Left for dead
The zombie survival guide
World war Z
Pride and Prejudice and Zombies
why were zombies so big in the 2000s?
This represents a new and theoretically grounded way of explaining how AI can perform so well on high-dimensional data. Come see our poster at NeurIPS:
neurips.cc/virtual/2024...
Excited to share 2 new papers showing how a Markov random field assumption improves density estimation—especially for dependencies in image, audio, and text data. This assumption is orthogonal to the manifold hypothesis! 📊📚
NeurIPS openreview.net/pdf?id=dWwin2uGYE
Preprint arxiv.org/abs/2411.15095